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International Conference on Information Science and technology (ICIST)

作者： Huigang Li Xiangli Zhang Hongmei Zhang Guangxi Colleges and Universities Key Laboratory of Cloud Computing and Complex System Guilin University of Electronic Technology Guilin China

To improve the efficiency of Cyber-Physical systems (CPSs), based on Quantum Particle Swarm Optimization (QPSO), a new optimization algorithm named K-means Multigroup Quantum Particle Swarm Optimization (KMQPSO) for actuator node deployment in CPS is proposed in this paper. The algorithm clusters M sensor nodes into N classes by using K-means algorithm, and then generates an initial solution of algorithm by taking the range center of N classes as location coordinate of N actuator nodes, and shares the information at a certain frequency of communication while particle swarms searching independently for solution space. Several experiments were conducted to evaluate this algorithm and compare the performances with other latest actuator deployment algorithms, the results show that the proposed method can improve the real-time coverage rate.

关键词： Three-dimensional displays Decision support systems

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Robust guided image filtering

arXiv

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arXiv 2017年

作者： Liu, Wei Chen, Xiaogang Shen, Chunhua Yu, Jingyi Wu, Qiang Yang, Jie Key Laboratory of Ministry of Education for System Control and Information Processing Shanghai Jiao Tong University Shanghai200240 China College of Communication and Art Design University of Shanghai for Science and Technology Shanghai200093 China School of Computer Science University of Adelaide AdelaideSA5005 Australia College of Engineering University of Delaware NewarkDE19176 United States School of Computing and Communications University of Technology SydneyNSW2007 Australia

The process of using one image to guide the filtering process of another one is called Guided Image Filtering (GIF). The main challenge of GIF is the structure inconsistency between the guidance image and the target image. Besides, noise in the target image is also a challenging issue especially when it is heavy. In this paper, we propose a general framework for Robust Guided Image Filtering (RGIF), which contains a data term and a smoothness term, to solve the two issues mentioned above. The data term makes our model simultaneously denoise the target image and perform GIF which is robust against the heavy noise. The smoothness term is able to make use of the property of both the guidance image and the target image which is robust against the structure inconsistency. While the resulting model is highly non-convex, it can be solved through the proposed Iteratively Re-weighted Least Squares (IRLS) in an efficient manner. For challenging applications such as guided depth map upsampling, we further develop a data-driven parameter optimization scheme to properly determine the parameter in our model. This optimization scheme can help to preserve small structures and sharp depth edges even for a large upsampling factor (8× for example). Moreover, the specially designed structure of the data term and the smoothness term makes our model perform well in edge-preserving smoothing for single-image tasks (i.e., the guidance image is the target image itself). It performs well in several challenging applications in avoiding halos, gradient reversals and properly preserving edges with noise/texture being well smoothed. Through extensive experimental results, we show that the proposed RGIF can have promising performance in many applications such as guided depth map upsampling, flash/no flash filtering, detail enhancement, HDR tone mapping, structure smoothing and clip-art JPEG compression artifact removal. This paper is an extension of our previous work [1], [2]. Copyright © 2017, T

关键词： Image enhancement

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CoSe: Collaborative Simulation Environment for Heterogeneous Models

CoSe: Collaborative Simulation Environment for Heterogeneous...

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2016 2nd International Conference on Advances in Mechanical Engineering and Industrial Informatics(AMEII 2016)

作者： Huilong Chen Yiping Yao Laibin Yan Feng Zhu Jin Li College of Information System and Management National University of Defense Technology State Key Laboratory of High Performance Computing National University of Defense Technology

ISBN: (纸本)9781510823808

Modeling and simulation of complex systems in nature and society usually involves multidisciplinary *** many simulation systems,it is necessary to develop models using different modeling languages and *** a result,it will be a big challenge in the modeling of the whole system and collaborative calculation of the heterogeneous *** this paper,we propose a collaborative simulation environment for heterogeneous models(Co Se) to support modeling and simulation for complex *** on our early work of a hierarchical modeling approach,we improve the early synchronous control algorithm and present a hybrid synchronous *** results and the case study illustrates that Co Se supports both hierarchical modeling for complex systems and efficient collaborative simulation of heterogeneous models with a good scalability.

关键词： Multidisciplinary Modeling Distributed computing Environment Hierarchical Modeling Method Synchronous Control Algorithm

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Distributed Fault-tolerant Tracking Control for Multi-agent system in the Environments with Obstacles 35

Distributed Fault-tolerant Tracking Control for Multi-agent ...

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第35届中国控制会议

作者： HUANG Jie ZHOU Ning CHEN Hongzhi Faculty of Mathematics and Natural Sciences University of Groningen Institute of the Cloud Computing and Big Data for Smart Agriculture and Forestry College of Computer and Information SciencesFujian Agriculture and Forestry University State Key Laboratory of Hybrid Process Industry Automation System and Equipment Technology China Iron and Steel Research Institute Group

ISBN: (纸本)9781509009107

This paper investigates the problem of collision-free coordination tracking control for multi-agent system under modeling uncertainties,actuator faults and *** syncretizing the Null-Space-based Behavioral(NSB) control and finite-time control method,a novel reference velocity signal is predesigned to achieve finite-time obstacle avoidance and coordination *** a set of finite-time coordination control laws are presented to guarantee all the agents to track a dynamic target while avoiding obstacles/***,numerical simulation is presented to demonstrate the efficacy of the control strategy.

关键词： Distributed Control Obstacle Avoidance Fault-tolerant Control Finite-time Control Modeling Uncertainties

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Application of Question and Answering on Virtual Human Dialogue:a Review and Prediction

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Journal of Donghua University(English Edition) 2015年第2期32卷 341-344页

作者：刘里 Tianjin Key Laboratory of Intelligence Computing and Novel Software Technology Tianjin University of Technology Key Laboratory of Computer Vision and System(Tianjin University of Technology) Ministry of Education

Nowadays,virtual human(VH) is becoming a hot research topic in *** dialogue can be categorized as an application of natural language processing(NLP) technology,since it is relational to question and answering(QA) *** order to integrate these technologies,this paper reviews some important work on VH dialogue,and predicts some research points on the view of QA technologies.

关键词： dialogue conversational becoming Prediction sentences discussion relational interactive questions integrate

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An Improved Genetic Algorithm for Degree Constrained Minimum Spanning Trees

An Improved Genetic Algorithm for Degree Constrained Minimum...

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第28届中国控制与决策会议

作者： Kai Shi Qingfeng Song Sheng Lin Guangping Xu Zhanxu Cao Key Lab of Intelligent Computing and Novel Software Technology Key Laboratory of Computer Vision and System Ministry of Education School of Science Tianjin Chengjian University

ISBN: (纸本)9781467397155

The Minimum Spanning Tree(MST) is of crucial importance for Communication Networks(CNs),which can solve problems of unconstrained CNs ***,in practical CNs,the degree of the spanning tree is *** such a case,the problem is very difficult,which has been proved to be *** this paper,an improved genetic algorithm(I-GA) is proposed for solving the problem of Degree Constrained Minimum Spanning Tree(DCMST).We use Prufer number as the chromosome,and improve the crossover and mutation processes of the existing genetic algorithm for obtaining high locality,heritability,and *** results show that our mechanism of I-GA can get relatively better results.

关键词： Minimum Spanning Tree Genetic Algorithm Degree constrained Prufer Number

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A New Type MySQL Integrated Mutual Authentication Security Model

A New Type MySQL Integrated Mutual Authentication Security M...

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2016 Sixth International Conference on Instrumentation and Measurement,Computer,Communication and Control (IMCCC2016)(第六届仪器测量、计算机通信与控制国际会议)

作者： Lan Zhang Hong-yun Ning Yang Yang Tianjin Key Laboratory of Intelligence Computing and Novel Software Technology Tianjin University of TechnologyTianjin 300384 China Key Laboratory of Computer Vision and System Ministry of EducationTianjin University of TechnologyTianjin 300384 China

ISBN: (纸本)9781509011964

MySQL database identity authentication uses a CHAP protocol,that is,the challenge/response protocol,which exists the password expressly transmission,one-way authentication,random time can not grasp and other security *** this paper,we analyze the security problems of the existing MySQL database authentication protocol,and propose a new type MySQL integrated mutual authentication security *** model integrates the two-way authentication in MySQL,which realizes mutual authentication between database and user;It provides an interface for the session key,which improves the security of the data operation in the MySQL database;At the same time joining the random number in the authentication process,which can effectively resist replay attacks,etc..At the end of this paper,cases analysis of the new security *** results show that the proposed security authentication model can ensure the security of user information and data transmission.

关键词： MySQL authentication protocol authentication model security analysis mutual authentication

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Density-controlled Delaunay triangulation for 2D sea area

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Computer Aided Drafting,Design and Manufacturing 2016年第1期26卷 47-53页

作者： Xu Mingze Liu Zhe Ma Long Liu Yuchen Zhou Yuanfeng School of Computer Science and Technology Shandong University Key Laboratory of Marine Environment and Ecology (Ocean University of China) Ministry of Education Computing and information system faculty The University of Melbourne

Triangulation is widely used in scientific research, such as finite element mesh generation, surface reconstruction and the reconstruction of the density field data. This paper proposes a new method combining image processing and density-controlled Centroidal Voronoi tessellations to quickly generate a density-controlled constrained Delaunay triangulation lbr 2D sea area. Firstly, preprocess digital images of the sea area and extract the boundary of seawater region by eight-neighbor searching algorithm. Then, 1 use Odd-Even Testing＂ method to check if one random vertex is inside the boundary and insert random vertices into the boundary. Finally, we get the CDT of random vertices by density-controlled CVT-Lloyd method. We also give some comparisons with existing methods, and our method performs better in final restllt of triangulation.

关键词： constrained Delaunay triangulation： density-controlled CVT-Lloyd method Odd-Even testing

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Real-time action recognition with enhanced motion vector CNNs

Real-time action recognition with enhanced motion vector CNN...

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2016 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2016

作者： Zhang, Bowen Wang, Limin Wang, Zhe Qiao, Yu Wang, Hanli Shenzhen Key Lab of Comp. Vis. and Pat. Rec. Shenzhen Institutes of Advanced Technology CAS China Key Laboratory of Embedded System and Service Computing Ministry of Education Tongji University Shanghai China Computer Vision Lab ETH Zurich Switzerland

ISBN: (纸本)9781467388511

The deep two-stream architecture [23] exhibited excellent performance on video based action recognition. The most computationally expensive step in this approach comes from the calculation of optical flow which prevents it to be real-time. This paper accelerates this architecture by replacing optical flow with motion vector which can be obtained directly from compressed videos without extra calculation. However, motion vector lacks fine structures, and contains noisy and inaccurate motion patterns, leading to the evident degradation of recognition performance. Our key insight for relieving this problem is that optical flow and motion vector are inherent correlated. Transferring the knowledge learned with optical flow CNN to motion vector CNN can significantly boost the performance of the latter. Specifically, we introduce three strategies for this, initialization transfer, supervision transfer and their combination. Experimental results show that our method achieves comparable recognition performance to the state-of-the-art, while our method can process 390.7 frames per second, which is 27 times faster than the original two-stream method.

关键词： Pattern recognition

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Search for continuous gravitational waves from 20 accreting millisecond x-ray pulsars in O3 LIGO data

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Physical Review D 2022年第2期105卷 022002-022002页

作者： R. Abbott T. D. Abbott F. Acernese K. Ackley C. Adams N. Adhikari R. X. Adhikari V. B. Adya C. Affeldt D. Agarwal M. Agathos K. Agatsuma N. Aggarwal O. D. Aguiar L. Aiello A. Ain T. Akutsu S. Albanesi A. Allocca P. A. Altin A. Amato C. Anand S. Anand A. Ananyeva S. B. Anderson W. G. Anderson M. Ando T. Andrade N. Andres T. Andrić S. V. Angelova S. Ansoldi J. M. Antelis S. Antier S. Appert Koji Arai Koya Arai Y. Arai S. Araki A. Araya M. C. Araya J. S. Areeda M. Arène N. Aritomi N. Arnaud S. M. Aronson K. G. Arun H. Asada Y. Asali G. Ashton Y. Aso M. Assiduo S. M. Aston P. Astone F. Aubin C. Austin S. Babak F. Badaracco M. K. M. Bader C. Badger S. Bae Y. Bae A. M. Baer S. Bagnasco Y. Bai L. Baiotti J. Baird R. Bajpai M. Ball G. Ballardin S. W. Ballmer A. Balsamo G. Baltus S. Banagiri D. Bankar J. C. Barayoga C. Barbieri B. C. Barish D. Barker P. Barneo F. Barone B. Barr L. Barsotti M. Barsuglia D. Barta J. Bartlett M. A. Barton I. Bartos R. Bassiri A. Basti M. Bawaj J. C. Bayley A. C. Baylor M. Bazzan B. Bécsy V. M. Bedakihale M. Bejger I. Belahcene V. Benedetto D. Beniwal T. F. Bennett J. D. Bentley M. BenYaala F. Bergamin B. K. Berger S. Bernuzzi D. Bersanetti A. Bertolini J. Betzwieser D. Beveridge R. Bhandare U. Bhardwaj D. Bhattacharjee S. Bhaumik I. A. Bilenko G. Billingsley S. Bini R. Birney O. Birnholtz S. Biscans M. Bischi S. Biscoveanu A. Bisht B. Biswas M. Bitossi M.-A. Bizouard J. K. Blackburn C. D. Blair D. G. Blair R. M. Blair F. Bobba N. Bode M. Boer G. Bogaert M. Boldrini L. D. Bonavena F. Bondu E. Bonilla R. Bonnand P. Booker B. A. Boom R. Bork V. Boschi N. Bose S. Bose V. Bossilkov V. Boudart Y. Bouffanais A. Bozzi C. Bradaschia P. R. Brady A. Bramley A. Branch M. Branchesi J. E. Brau M. Breschi T. Briant J. H. Briggs A. Brillet M. Brinkmann P. Brockill A. F. Brooks J. Brooks D. D. Brown S. Brunett G. Bruno R. Bruntz J. Bryant T. Bulik H. J. Bulten A. Buonanno R. Buscicchio D. Buskulic C. Buy R. L. Byer L. Cadonati G. Cagnoli C. Cahillane J. Calderón Bustillo J. D. Callaghan T. A. Callister E. Ca LIGO Laboratory California Institute of Technology Pasadena California 91125 USA Louisiana State University Baton Rouge Louisiana 70803 USA Dipartimento di Farmacia Università di Salerno I-84084 Fisciano Salerno Italy INFN Sezione di Napoli Complesso Universitario di Monte S. Angelo I-80126 Napoli Italy OzGrav School of Physics & Astronomy Monash University Clayton 3800 Victoria Australia LIGO Livingston Observatory Livingston Louisiana 70754 USA University of Wisconsin-Milwaukee Milwaukee Wisconsin 53201 USA OzGrav Australian National University Canberra Australian Capital Territory 0200 Australia Max Planck Institute for Gravitational Physics (Albert Einstein Institute) D-30167 Hannover Germany Leibniz Universität Hannover D-30167 Hannover Germany Inter-University Centre for Astronomy and Astrophysics Pune 411007 India University of Cambridge Cambridge CB2 1TN United Kingdom Theoretisch-Physikalisches Institut Friedrich-Schiller-Universität Jena D-07743 Jena Germany University of Birmingham Birmingham B15 2TT United Kingdom Center for Interdisciplinary Exploration & Research in Astrophysics (CIERA) Northwestern University Evanston Illinois 60208 USA Instituto Nacional de Pesquisas Espaciais 12227-010 São José dos Campos São Paulo Brazil Gravity Exploration Institute Cardiff University Cardiff CF24 3AA United Kingdom INFN Sezione di Pisa I-56127 Pisa Italy Gravitational Wave Science Project National Astronomical Observatory of Japan (NAOJ) Mitaka City Tokyo 181-8588 Japan Advanced Technology Center National Astronomical Observatory of Japan (NAOJ) Mitaka City Tokyo 181-8588 Japan INFN Sezione di Torino I-10125 Torino Italy Università di Napoli “Federico II” Complesso Universitario di Monte S. Angelo I-80126 Napoli Italy Université de Lyon Université Claude Bernard Lyon 1 CNRS Institut Lumière Matière F-69622 Villeurbanne France Department of Physics The University of Tokyo Bunkyo-ku Tokyo 113-0033 Japan Research Center for the Early Un

Results are presented of searches for continuous gravitational waves from 20 accreting millisecond x-ray pulsars with accurately measured spin frequencies and orbital parameters, using data from the third observing run of the Advanced LIGO and Advanced Virgo detectors. The search algorithm uses a hidden Markov model, where the transition probabilities allow the frequency to wander according to an unbiased random walk, while the J-statistic maximum-likelihood matched filter tracks the binary orbital phase. Three narrow subbands are searched for each target, centered on harmonics of the measured spin frequency. The search yields 16 candidates, consistent with a false alarm probability of 30% per subband and target searched. These candidates, along with one candidate from an additional target-of-opportunity search done for SAX J1808.4−3658, which was in outburst during one month of the observing run, cannot be confidently associated with a known noise source. Additional follow-up does not provide convincing evidence that any are a true astrophysical signal. When all candidates are assumed nonastrophysical, upper limits are set on the maximum wave strain detectable at 95% confidence, h095%. The strictest constraint is h095%=4.7×10−26 from IGR J17062−6143. Constraints on the detectable wave strain from each target lead to constraints on neutron star ellipticity and r-mode amplitude, the strictest of which are ε95%=3.1×10−7 and α95%=1.8×10−5 respectively. This analysis is the most comprehensive and sensitive search of continuous gravitational waves from accreting millisecond x-ray pulsars to date.

关键词： Gravitational waves Binary stars Neutron stars & pulsars

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